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Resilience: An Indicator of Recovery Capability in Intermodal Freight Transport

Author

Listed:
  • Lichun Chen

    (Department of Civil and Environmental Engineering, A. James Clark School of Engineering, University of Maryland, College Park, Maryland 20742)

  • Elise Miller-Hooks

    (Department of Civil and Environmental Engineering, A. James Clark School of Engineering, University of Maryland, College Park, Maryland 20742)

Abstract
In this paper, an indicator of network resilience is defined that quantifies the ability of an intermodal freight transport network to recover from disruptions due to natural or human-caused disaster. The indicator considers the network's inherent ability to cope with the negative consequences of disruptions as a result of its topological and operational attributes. Furthermore, the indicator explicitly accounts for the impact of potential recovery activities that might be taken in the immediate aftermath of the disruption to meet target operational service levels while adhering to a fixed budget. A stochastic mixed-integer program is proposed for quantifying network resilience and identifying an optimal postevent course of action (i.e., set of activities) to take. To solve this mathematical program, a technique that accounts for dependencies in random link attributes based on concepts of Benders decomposition, column generation, and Monte Carlo simulation is proposed. Experiments were conducted to illustrate the resilience concept and procedure for its measurement, and to assess the role of network topology in its magnitude.

Suggested Citation

  • Lichun Chen & Elise Miller-Hooks, 2012. "Resilience: An Indicator of Recovery Capability in Intermodal Freight Transport," Transportation Science, INFORMS, vol. 46(1), pages 109-123, February.
    • Handle: RePEc:inm:ortrsc:v:46:y:2012:i:1:p:109-123
    DOI: 10.1287/trsc.1110.0376
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    References listed on IDEAS

    as
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